Vas Narasimhan

826 citations
11 papers · 608 · h-index 8

Impact in

Papers in

Vas Narasimhan

10 papers receiving 589 citations

Peers

Vas Narasimhan
Comparison fields: 5 of 79
  • Epidemiology 409
  • Endocrine and Autonomic Systems 51
  • Health 60
  • Infectious Diseases 103
  • Immunology 114
Replace Jonas Sundman with:
Jonas Sundman Finland
Manale Ouakki Canada
Michele Pallaoro Italy
Beth R. Larrabee United States
Pantaleo Nacci United States
Kristina Træholt Franck Denmark
Peter Noble United Kingdom
Seetha Meyer Germany
H Schmitt Germany
Janne Tynell Finland
Vas Narasimhan relative to Jonas Sundman Finland Jonas Sundman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vas Narasimhan

Since Specialization
Citations

This map shows the geographic impact of Vas Narasimhan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vas Narasimhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vas Narasimhan more than expected).

Fields of papers citing papers by Vas Narasimhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vas Narasimhan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vas Narasimhan. The network helps show where Vas Narasimhan may publish in the future.

Co-authors

The 25 scholars most cited alongside Vas Narasimhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vas Narasimhan Line = papers co-authored together Vas Narasimhan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015162
2 2016119
3 2014110
4 201478
5 201446
6 201740
7 201423
8 202021
9 20237
10
Antibodies to influenza nucleoprotein cross-react with human hypocretin receptor 2
20151
11 20141

About Vas Narasimhan

Vas Narasimhan is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Immunology, Cognitive Neuroscience and Infectious Diseases, having authored 11 papers that have together received 608 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (3 papers), Influenza Virus Research Studies (3 papers), Streptococcal Infections and Treatments (3 papers), Neonatal and Maternal Infections (3 papers), Immune Response and Inflammation (2 papers), Sleep and Wakefulness Research (2 papers), Respiratory viral infections research (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Epidemiology (409 citations), Endocrine and Autonomic Systems (51 citations), Health (60 citations), Infectious Diseases (103 citations) and Immunology (114 citations). Vas Narasimhan has collaborated with scholars based in United States, Switzerland and South Africa. Frequent co-authors include Eduardo Forleo‐Neto, Giovanni Della Cioppa, Karen S. Slobod, Nancy Bermal, Ashwani Kumar Arora, Sharon E. Frey, Humberto Reynales, Uwe Nicolay, Niranjan Kanesa-thasan and Anthonet Koen. Their work appears in journals such as Vaccine, Science Translational Medicine, Clinical Infectious Diseases, Clinical Pharmacology & Therapeutics and The Lancet Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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